E-Books →Building Knowledge Graphs A Practitioner's Guide

Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesús Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning.
* Learn the organizing principles necessary to build a knowledge graph
* Explore how graph databases serve as a foundation for knowledge graphs
* Understand how to import structured and unstructured data into your graph
* Follow examples to build integration-and-search knowledge graphs
* Learn what pattern detection knowledge graphs help you accomplish
* Explore dependency knowledge graphs through examples
* Use examples of natural language knowledge graphs and chatbots
* Use graph algorithms and ML to gain insight into connected data